What We Are Looking For

Core Experience

• 8-10+ years of software engineering and technical product delivery experience, with a track record of leading distributed microservices platforms and complex user-facing transactional applications.
• Direct Expertise in Service Decomposition: Direct experience architecting or owning service decomposition decisions — you have an opinion on domain-driven design, API gateway strategy, and event streaming, and you can defend it.
• Bespoke System Delivery: Proven track record of architecting custom-engineered platforms (not just configuring off-the-shelf SaaS) within complex, highly regulated organisational environments.
• Cross-Functional Team Management: Proven ability to manage multi-team delivery across engineering, UX, data, and integration workstreams.

Strategic & Communication Credibility: Fluent in shifting between technical architecture deep dives with engineering teams and strategic roadmap briefings with senior government officials and non-technical operational leaders.

Industry Background — Strongly Preferred

Candidates from the following backgrounds are particularly encouraged to apply:
 

• Product Companies at Scale: FAANG, growth-stage tech, or platform businesses where microservices architecture, rapid delivery cycles, user-centricity, and product telemetry were a lived reality, not an aspiration.
• Banking & Financial Services: Core banking modernization, payments infrastructure, or regulatory technology platforms with strong API, service governance, and high-security requirements.
• Social Services & Benefits Administration: Case management systems, beneficiary lifecycle platforms, or government service delivery applications.
• Government & Public Sector: Previous engagement with public sector delivery constraints, IM8, PSG, or equivalent governance, security-by-design, and data sovereignty frameworks.
• Healthcare or Justice-Adjacent Industries: Corrections, rehabilitation, mental health platforms, or any domain with complex case-based workflows and strictly regulated data.

Technical Fluency
 

• Microservices & System Architecture: Deep technical fluency in event-driven systems, REST/GraphQL API design, container orchestration (Kubernetes, Docker), message brokers (Kafka, RabbitMQ), and microservice governance.
• Full-Stack & UX Engineering Craft: Deep understanding of modern web architectures (React, Next.js, TypeScript, state management) and how frontend interfaces interact with backend microservices, caching layers, and database subledgers.
• Pragmatic Prototyping & Scoping: Ability to build quick proof-of-concept code spikes to test technical feasibility, validate AI/UX flows with end-users, and establish implementation patterns for the wider team.
• Product Telemetry & Analytics: Practical fluency in embedding client- and server-side observability, product analytics, error, and custom event logging to monitor feature adoption and task completion rates.
• Cloud-Native, DevSecOps & Security: Familiarity with DevSecOps practices and security-by-design in government or regulated contexts.
• Practical AI Literacy & Tooling Experience: Hands-on experience leveraging modern AI developer tools (e.g., Cursor, Copilot, or AI-assisted IDEs) to accelerate technical discovery, alongside practical experience integrating standard LLM APIs/services into web applications (e.g., search indexing, automated summarization, or operational assistance tools).

Personal Qualities

• Outcome-oriented and comfortable with ambiguity
• Credible with both engineers and senior officials; you can shift register fluently between architecture reviews and ministerial briefings.
• Disciplined about trade-offs: you know when to hold the line on architectural integrity and when to ship.
• Curious about complex human systems — the corrections domain involves layered operational, ethical, and policy dimensions that reward genuine intellectual engagement.

Nice to Have

• Experience with rehabilitation, reintegration, or corrections-specific platforms (case officer tools, risk assessment systems, supervision management).
• Prior consulting or advisory delivery experience across multiple clients or sectors.
• Certifications in SAFe, CSPO, or equivalent scaled agile frameworks.

Exposure to AI/ML integration in operational platforms.
 

Singapore

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